Kniha Nonlinear System Identification Oliver Nelles

Nonlinear System Identification

From Classical Approaches to Neural Networks and Fuzzy Models

Autor: Oliver Nelles
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
3 347
This book covers the most common and important approaches for the identification of nonlinear static...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2000
Stránek
786
EAN
9783540673699
ISBN
3540673695
Enbook ID
01567346
Vydavatel
Hmotnost
1376
Rozměry
164 x 239 x 51

Kompletní popis

This book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships. This is supported by many illustrative figures. Advanced mathematics is avoided. Thus, the book is suitable for last year undergraduate and graduate courses as well as research and development engineers in industries.

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